{"action":"created","issue":{"url":"https://api.github.com/repos/joeddav/devol/issues/15","repository_url":"https://api.github.com/repos/joeddav/devol","labels_url":"https://api.github.com/repos/joeddav/devol/issues/15/labels{/name}","comments_url":"https://api.github.com/repos/joeddav/devol/issues/15/comments","events_url":"https://api.github.com/repos/joeddav/devol/issues/15/events","html_url":"https://github.com/joeddav/devol/issues/15","id":234078117,"number":15,"title":"What will it take to get this working on regression problems as well?","user":{"login":"ClimbsRocks","id":7017045,"avatar_url":"https://avatars3.githubusercontent.com/u/7017045?v=3","gravatar_id":"","url":"https://api.github.com/users/ClimbsRocks","html_url":"https://github.com/ClimbsRocks","followers_url":"https://api.github.com/users/ClimbsRocks/followers","following_url":"https://api.github.com/users/ClimbsRocks/following{/other_user}","gists_url":"https://api.github.com/users/ClimbsRocks/gists{/gist_id}","starred_url":"https://api.github.com/users/ClimbsRocks/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ClimbsRocks/subscriptions","organizations_url":"https://api.github.com/users/ClimbsRocks/orgs","repos_url":"https://api.github.com/users/ClimbsRocks/repos","events_url":"https://api.github.com/users/ClimbsRocks/events{/privacy}","received_events_url":"https://api.github.com/users/ClimbsRocks/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":11,"created_at":"2017-06-07T02:53:33Z","updated_at":"2017-07-06T21:16:53Z","closed_at":null,"body":"Looks like an awesome project! \r\n\r\nWe've found a fun use case for deep learning for regression problems with [auto_ml](https://github.com/ClimbsRocks/auto_ml). We train the neural network, then instead of getting it's output from the final layer (just a linear model), we get the features it learned in it's penultimate layer, then feed those into a gradient boosted model (which is typically better at turning features into predictions than a linear model). \r\n\r\nYour library looks like a great way to optimize the deep learning model. \r\n\r\nAny thoughts on what it would take to get regression models supported? "},"comment":{"url":"https://api.github.com/repos/joeddav/devol/issues/comments/313521799","html_url":"https://github.com/joeddav/devol/issues/15#issuecomment-313521799","issue_url":"https://api.github.com/repos/joeddav/devol/issues/15","id":313521799,"user":{"login":"qorrect","id":711385,"avatar_url":"https://avatars0.githubusercontent.com/u/711385?v=3","gravatar_id":"","url":"https://api.github.com/users/qorrect","html_url":"https://github.com/qorrect","followers_url":"https://api.github.com/users/qorrect/followers","following_url":"https://api.github.com/users/qorrect/following{/other_user}","gists_url":"https://api.github.com/users/qorrect/gists{/gist_id}","starred_url":"https://api.github.com/users/qorrect/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/qorrect/subscriptions","organizations_url":"https://api.github.com/users/qorrect/orgs","repos_url":"https://api.github.com/users/qorrect/repos","events_url":"https://api.github.com/users/qorrect/events{/privacy}","received_events_url":"https://api.github.com/users/qorrect/received_events","type":"User","site_admin":false},"created_at":"2017-07-06T21:16:52Z","updated_at":"2017-07-06T21:16:52Z","body":"I'll get started.  I know we will want to add LSTM layers.  For coding styles - should I just subclass GenomeHandler and call it RegressionGenomeHandler and add the new Regression specific things ?  "}}
{"actor":{"display_login":"qorrect"}}